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. The ideal candidate will bring strong theoretical and practical expertise in sustainability, energy systems, and collaborative learning, with openness to diverse disciplinary and community-based approaches
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environmental data Processing and analyzing large-scale remote sensing datasets from UAV, satellite, and ground-based sensors Leveraging artificial intelligence, e.g. machine learning, reinforcement learning
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workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness
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experience of the candidate At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and
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transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 hour ago
· Organization of meetings, workshops and seminars · Preparing academic publications and research reports Education and Experience The successful PDF candidate must possess: · Completed (or ABD) a PhD (or
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private grant-making foundation. This prestigious fellowship will be awarded to an incoming PhD student in the Faculty of Forestry whose intended studies fit within one of the following areas of excellence
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Toronto’s Top Employer for 2015, 2016, 2017 and 2018. To learn more about our work environment, colleagues, leaders, students and innovative educational environment, visit www.torontomu.ca , check out
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have a background in qualitative research and community engagement. An interest in patient engagement and participatory action is a benefit, and either experience in, or interest in learning mixed
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, engineers, computer scientists, nuclear medicine physicians, …) towards the overall aim of enabling translational and physician-in-the-loop AI for medical imaging. Our research team is multicultural and